2D DOA estimator for coherently distributed sources using one snapshot

Abstract

A two-dimensional (2D) direction-of-arrival (DOA) estimation method for coherently distributed (CD) sources has been proposed in high real-time situation using only one snapshot. Utilising two uniform linear arrays (ULAs), the proposed algorithm first construct four equivalent matrices with rotational structures using one snapshot, and then a total equivalent covariance is extended by the four matrices. Finally, two rotational invariance matrices can been calculated by ESPRIT-like algorithm, and the eigenvalues which contains of the information of the central DOAs can be obtained by eigen-decomposition of the two matrices. To improve the performance of the proposed method, in-phased accomplished data is proposed. Without snapshots accumulation, peak searching, and correlation process, the 2D DOA estimation method for CD sources can be used for real-time situation. Several simulation results are used to illustrate the performance of the proposed method.

Keywords

• covariance matrices
• array signal processing
• direction-of-arrival estimation
• coherently distributed sources
• snapshot
• direction-of-arrival estimation method
• real-time situation
• uniform linear arrays
• equivalent matrices
• rotational structures
• total equivalent covariance
• rotational invariance matrices
• central DOAs
• snapshots accumulation
• 2D DOA estimation method
• CD sources